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ttpears

GitLab MCP Server

by ttpears

List Work Items

list_work_items
Read-onlyIdempotent

List work items in a GitLab namespace with optional filters by type, state, and pagination. Retrieve issues, tasks, epics, and more from groups or projects.

Instructions

List work items within a namespace (group or project fullPath). Supports filtering by type (ISSUE, TASK, EPIC, INCIDENT, OBJECTIVE, KEY_RESULT) and state, plus cursor pagination and fetchAll.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fullPathYesNamespace full path — group (e.g. "my-group") or project (e.g. "my-group/my-project")
typesNoFilter by work item types. Omit for all types.
stateNoFilter by state. "all" returns every state.
firstNoPage size (default 20, capped by server maxPageSize)
afterNoCursor for next page
fetchAllNoAuto-paginate up to first items
sortNoSort enum, e.g. UPDATED_DESC (default), CREATED_DESC, TITLE_ASC
userCredentialsNoYour GitLab credentials (optional — falls back to the configured env token if not provided)
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and idempotentHint=true, so the tool's safety is clear. The description adds value by disclosing pagination behavior (cursor pagination and fetchAll auto-pagination) and filtering, which are important for invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is well front-loaded with the main purpose and briefly lists capabilities without any superfluous information. Every phrase earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 8 parameters and no output schema, yet the description does not explain the return value structure or pagination details (e.g., how cursors work). This omission leaves agents without enough context to fully understand the tool's behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are fully documented in the schema. The description summarizes the main filtering parameters but does not add new semantics beyond what the schema already provides, meeting the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists work items within a namespace, and specifies supported filtering by type and state, as well as pagination. It distinguishes from siblings like get_work_item and get_issues by emphasizing listing functionality and enumerating work item types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains what the tool does and its filtering options, but does not explicitly direct when to use this tool over alternatives (e.g., get_issues, search_issues). The context is clear but lacks usage exclusions or comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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